Instructions to use jirkoru/TemporalRegressionV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use jirkoru/TemporalRegressionV2 with Scikit-learn:
import joblib from skops.hub_utils import download download("jirkoru/TemporalRegressionV2", "path_to_folder") model = joblib.load( "model.pkl" ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
| { | |
| "sklearn": { | |
| "columns": [ | |
| "time_first_funding", | |
| "seed_funding", | |
| "time_till_series_a", | |
| "seed_n_rounds", | |
| "angel_n_rounds", | |
| "pre_seed_n_rounds" | |
| ], | |
| "environment": [ | |
| "scikit-learn=1.1.3" | |
| ], | |
| "example_input": { | |
| "angel_n_rounds": [ | |
| 0.0, | |
| 0.0, | |
| 0.0 | |
| ], | |
| "pre_seed_n_rounds": [ | |
| 0.0, | |
| 0.0, | |
| 0.0 | |
| ], | |
| "seed_funding": [ | |
| 1250000.0, | |
| 800000.0, | |
| 8000000.0 | |
| ], | |
| "seed_n_rounds": [ | |
| 1.0, | |
| 3.0, | |
| 1.0 | |
| ], | |
| "time_first_funding": [ | |
| 1270.0, | |
| 1856.0, | |
| 689.0 | |
| ], | |
| "time_till_series_a": [ | |
| 1455.0, | |
| 1667.0, | |
| 1559.0 | |
| ] | |
| }, | |
| "model": { | |
| "file": "model.pkl" | |
| }, | |
| "model_format": "pickle", | |
| "task": "tabular-classification" | |
| } | |
| } |